Partition Testing Does Not Inspire Confidence (Program Testing)
IEEE Transactions on Software Engineering
Analyzing Partition Testing Strategies
IEEE Transactions on Software Engineering
Analyzing Regression Test Selection Techniques
IEEE Transactions on Software Engineering
Empirical Studies of a Safe Regression Test Selection Technique
IEEE Transactions on Software Engineering
Evaluating Testing Methods by Delivered Reliability
IEEE Transactions on Software Engineering
Factor-covering designs for testing software
Technometrics
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Probabilistic Networks and Expert Systems
Probabilistic Networks and Expert Systems
Are We Testing for True Reliability?
IEEE Software
How to Design Practical Test Cases
IEEE Software
Making Sensitivity Analysis Computationally Efficient
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Moral Dominance Relations for Program Comprehension
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Software maintenance project delays prediction using Bayesian Networks
Expert Systems with Applications: An International Journal
Regression via Classification applied on software defect estimation
Expert Systems with Applications: An International Journal
Agents learn from human experts: an approach to test reconfigurable systems
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A prioritization approach for software test cases based on Bayesian networks
FASE'07 Proceedings of the 10th international conference on Fundamental approaches to software engineering
Bayesian methods for data analysis in software engineering
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
Defect cost flow model: a Bayesian network for predicting defect correction effort
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
Bayesian reasoning for software testing
Proceedings of the FSE/SDP workshop on Future of software engineering research
Bayesian networks in software maintenance management
SOFSEM'05 Proceedings of the 31st international conference on Theory and Practice of Computer Science
Bayesian network analysis for the dynamic prediction of early stage entrepreneurial activity index
Expert Systems with Applications: An International Journal
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This paper describes a new approach to the problem of software testing. The approach is based on Bayesian graphical models and presents formal mechanisms for the logical structuring of the software testing problem, the probabilistic and statistical treatment of the uncertainties to be addressed, the test design and analysis process, and the incorporation and implication of test results. Once constructed, the models produced are dynamic representations of the software testing problem. They may be used to drive test design, answer what-if questions, and provide decision support to managers and testers. The models capture the knowledge of the software tester for further use. Experiences of the approach in case studies are briefly discussed.